Low-frequency somatic copy number alterations in normal human lymphocytes revealed by large-scale single-cell whole-genome profiling.

Genomic-scale somatic copy number alterations in healthy humans are difficult to investigate because of low occurrence rates and the structural variations' stochastic natures. Using a Tn5-transposase-assisted single-cell whole-genome sequencing method, we sequenced over 20,000 single lymphocytes from 16 individuals. Then, with the scale increased to a few thousand single cells per individual, we found that about 7.5% of the cells had large-size copy number alterations. Trisomy 21 was the most prevalent aneuploid event among all autosomal copy number alterations, whereas monosomy X occurred most frequently in over-30-yr-old females. In the monosomy X single cells from individuals with phased genomes and identified X-inactivation ratios in bulk, the inactive X Chromosomes were lost more often than the active ones.

Climates and associated factors for evidence-based practice implementation among nurses: a cross-sectional study.

BACKGROUND: The organizational climate that fosters and supports the implementation of evidence is a key factor influencing the effective implementation of evidence-based practice (EBP). Nurses, being the largest group of medical staff, play a crucial role in EBP implementation. The perception of the climate for EBP implementation among nurses in their organizations is unknown, especially among Chinese nurses. AIMS: To clarify the implementation climate of EBP among Chinese nurses and identify the factors associated with the implementation and development of evidence-based nursing practices. METHODS: This study employed a descriptive cross-sectional study design. From March 2023 to April 2023, a sample of nurses (n = 1260) from two Tertiary care hospitals in central China were selected and surveyed by self-designed social-demographic questionnaire and Implementation Climate Scale. Multiple linear stepwise regression analysis was conducted to determine the predictors of implementation climate. RESULTS: The nurses achieved a mean ICS score of 59.10 ± 11.22, with mean scores exceeding 3 points for each sub-dimension and item. In the results of multiple linear regression, income satisfaction, implementation of evidence-based nursing practice project(s) within the unit, experience of evidence-based nursing practice during working life, and specific training or courses in evidence-based nursing practice were predictors of ICS. Of these, income satisfaction was the most significant predictor. These factors could explain 17.5% of the total variance in implementation climate. CONCLUSION: The climate for implementing EBP in Chinese nursing organizations was relatively strong. Nursing managers can enhance the climate for implementing EBP in their organizations by actively improving salary and enhancing EBP-related trainings and practices. RELEVANCE TO CLINICAL PRACTICE: Understanding nurses' perceptions of the EBP implementation climate in their organizations can help to identify specific barriers and facilitators to the development of EBP and facilitate its successful implementation. PATIENT OR PUBLIC CONTRIBUTION: Clinical nurses were involved in data collection and completed the questionnaires on EBP implementation climate.

Three-dimensional digital PCR through light-sheet imaging of optically cleared emulsion.

The realization of the vast potential of digital PCR (dPCR) to provide extremely accurate and sensitive measurements in the clinical setting has thus far been hindered by challenges such as assay robustness and high costs. Here we introduce a lossless and contamination-free dPCR technology, termed CLEAR-dPCR, which addresses these challenges by completing the dPCR sample preparation, PCR, and readout all in one tube. Optical clearing of the droplet dPCR emulsion was combined with emerging light-sheet fluorescence microscopy, to acquire a three-dimensional (3D) image of a half million droplets sealed in a tube in seconds. CLEAR-dPCR provides ultrahigh-throughput readout results in situ and fundamentally eliminates the possibility of either sample loss or contamination. This approach exhibits improved accuracy over existing dPCR platforms and enables a greatly increased dynamic range to be comparable to that of real-time quantitative PCR.

Design and Implementation of an Inpatient Fall Risk Management Information System.

BACKGROUND: Falls had been identified as one of the nursing-sensitive indicators for nursing care in hospitals. With technological progress, health information systems make it possible for health care professionals to manage patient care better. However, there is a dearth of research on health information systems used to manage inpatient falls. OBJECTIVE: This study aimed to design and implement a novel hospital-based fall risk management information system (FRMIS) to prevent inpatient falls and improve nursing quality. METHODS: This implementation was conducted at a large academic medical center in central China. We established a nurse-led multidisciplinary fall prevention team in January 2016. The hospital's fall risk management problems were summarized by interviewing fall-related stakeholders, observing fall prevention workflow and post-fall care process, and investigating patients' satisfaction. The FRMIS was developed using an iterative design process, involving collaboration among health care professionals, software developers, and system architects. We used process indicators and outcome indicators to evaluate the implementation effect. RESULTS: The FRMIS includes a fall risk assessment platform, a fall risk warning platform, a fall preventive strategies platform, fall incident reporting, and a tracking improvement platform. Since the implementation of the FRMIS, the inpatient fall rate was significantly lower than that before implementation (P<.05). In addition, the percentage of major fall-related injuries was significantly lower than that before implementation. The implementation rate of fall-related process indicators and the reporting rate of high risk of falls were significantly different before and after system implementation (P<.05). CONCLUSIONS: The FRMIS provides support to nursing staff in preventing falls among hospitalized patients while facilitating process control for nursing managers.

Prevention and management of enteral nutrition-related diarrhea among adult inpatients: a best practice implementation project.

INTRODUCTION: Diarrhea, the most common complication for patients during enteral nutrition, poses a range of risks and care burdens. Medical staff are aware of the importance of proactively preventing and managing enteral nutrition-related diarrhea. However, clinical prevention and management methods are not standardized, and the scientific basis and effectiveness of these methods need to be further verified. OBJECTIVES: This project aimed to promote evidence-based practices for the prevention and management of enteral nutrition-related diarrhea among adult inpatients in a public tertiary hospital in China. METHODS: This project was guided by the JBI Evidence Implementation Framework and used the JBI Practical Application of Clinical Evidence System (PACES) and the JBI Getting Research into Practice (GRiP) tools. Twelve audit criteria were developed to conduct a baseline audit to measure compliance with best practices. A barrier analysis was conducted, and strategies were implemented to overcome the barriers. The project was finalized with a follow-up audit to determine any changes in compliance with best practices. RESULTS: The overall compliance rate for the audit criteria increased from 27.37% at baseline to 89.62% in the follow-up audit, with six criteria achieving a compliance rate of 100%. CONCLUSIONS: The implementation of evidence-based practices can effectively narrow the gap between current practice and best practice. This project improved the ability of medical staff to prevent and manage enteral nutrition-related diarrhea, as well as promoting evidence-based practice in the hospital. SPANISH ABSTRACT: http://links.lww.com/IJEBH/A168.

The leaching mechanism of heavy metals (Ni, Cd, As) in a gasification slag during acidification.

The gasification slag by acidification can leach abundant heavy metals. In this paper, the fate of heavy metals (Ni, Cd, and As) in the raw slag and the acidified slag that treated by HAc and HCl was systematically investigated combined with Density Functional Theory (DFT) calculations. The results show that the content of Ni and Cd is reduced with an increasing acid concentration and meets the regulatory standards by 7 M HAc and 3 M HCl, respectively. Most of Ni combined with gehlenite is released as gehlenite dissolves during acid treatment, whereas Cd in combination with gehlenite and iron compounds is hard to release at lower HAc concentrations. Unexpectedly, the content of As tends to elevate at a higher concentration of HAc, which is due to the increase in the content of Ca by new Ca-compound formation and the higher binding capacity of Ca to As according to DFT results. Additionally, if the acid-base ratio reaches about 2.0 by acid treatment, there would be a maximum leaching rate. It is recommended that acid concentration should be controlled to avoid a secondary risk of heavy metals.

Unique dual indexing PCR reduces chimeric contamination and improves mutation detection in cell-free DNA of pregnant women.

Allele fraction measurement is an essential component in nucleic acid analysis. The formation of chimeric amplicons during multiplex PCR amplification, however, greatly affects the allele fraction even before downstream analysis. Previous error correction strategy with unique molecular indexing (UMI) targets mainly points mutations rather than chimeras. Since the mutant allele detection in pregnant women cell-free DNA (cfDNA) is limited by chimeric amplicon contamination, a more direct error correction solution is demanded. Here we demonstrate effective reduction of chimeric amplicon contamination by unique dual indexing. With error corrected deep sequencing analysis, we achieved 100% accuracy in 16 tests of the parental mutation inheritance and de novo mutations in cfDNA of pregnant women, whose fetuses were at risk of tuberous sclerosis complex or Marfan syndrome. Our error correction strategy could offer a versatile solution for accurate multiplex PCR amplification.

High-throughput single-cell whole-genome amplification through centrifugal emulsification and eMDA.

Single-cell whole-genome sequencing (scWGS) is mainly used to probe intercellular genomic variations, focusing on the copy number variations or alterations and the single-nucleotide variations (SNVs) occurring within single cells. Single-cell whole-genome amplification (scWGA) needs to be applied before scWGS but is challenging due to the low copy number of DNA. Besides, many genomic variations are rare within a population of cells, so the throughput of currently available scWGA methods is far from satisfactory. Here, we integrate a one-step micro-capillary array (MiCA)-based centrifugal droplet generation technique with emulsion multiple displacement amplification (eMDA) and demonstrate a high-throughput scWGA method, MiCA-eMDA. MiCA-eMDA increases the single-run throughput of scWGA to a few dozen, and enables the assessment of copy number variations and alterations at 50-kb resolution. Downstream target enrichment further enables the detection of SNVs with 20% allele drop-out.